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Generalized semantics-to-document derivation

Published:06 September 2005Publication History

ABSTRACT

This poster presents a general clustering-based algorithm for deriving presentation structure from semantic structure. Domain-independent presentation generation results from this algorithm.

References

  1. Cilibrasi, R. and Vitanyi, P. Clustering by Compression. arXiv.org e-Print cs.CV/0312044 (2003).Google ScholarGoogle Scholar
  2. Rutledge, L., Alberink, M., Brussee, R., Pokraev, S., van Dieten, W., and Veenstra, M. Finding the Story - Broader Applicability of Semantics and Discourse for Hypermedia Generation. In Proceedings of the fourteenth ACM conference on Hypertext and hypermedia (HT03) (Nottingham, UK, August 26-30, 2003), 67--76. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Alberink, M., Rutledge, L., Hardman, L., and Veenstra, M. Clustering Semantics for Hypermedia Presentation. CWI technical report INS-E0409, November 2004Google ScholarGoogle Scholar

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  1. Generalized semantics-to-document derivation

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              • Published in

                cover image ACM Conferences
                HYPERTEXT '05: Proceedings of the sixteenth ACM conference on Hypertext and hypermedia
                September 2005
                310 pages
                ISBN:1595931686
                DOI:10.1145/1083356

                Copyright © 2005 ACM

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                Association for Computing Machinery

                New York, NY, United States

                Publication History

                • Published: 6 September 2005

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